iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1263
Single Precision Score
1547
Half Precision Score
424
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 01:58 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1006
187.1 IPS |
|
|
Image Classification (HP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (Q)
|
96% |
172
32.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
235
3.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4599
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1958
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (HP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
3815
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
308
3.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
3153
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4790
36.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
577
4.51 IPS |
|
|
Style Transfer (SP)
|
100% |
8912
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10871
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3194
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2235
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
104
138.4 IPS |
|
|
Text Classification (HP)
|
100% |
108
143.6 IPS |
|
|
Text Classification (Q)
|
93% |
104
139.8 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.31 IPS |
|
|
Machine Translation (Q)
|
98% |
487
8.42 IPS |
